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An Airport Decision Support System for Real Time Allocation of Service Cars
Author(s) -
Abouzar Ramezani,
Mohammad Reza Malek
Publication year - 2018
Publication title -
journal of geospatial information technology
Language(s) - English
Resource type - Journals
eISSN - 2538-418X
pISSN - 2008-9635
DOI - 10.29252/jgit.5.4.41
Subject(s) - service (business) , continuance , process (computing) , transport engineering , position (finance) , operations research , business , decision support system , computer science , engineering , marketing , finance , artificial intelligence , political science , law , operating system
Improve the safety of the service needs total integrated management of the airport, which due to independency of management in various sectors of activity is relatively difficult. Yet, continuance of this process, can affect all operations of an airport alone. Increasing flights in the airports lead to traffic jam of service cars results in an increase in the airport's accidents. In time of crisis in the airport, because of the lack of information on the overall situation, the decision making process will become a serious problem for managers. Hence, the safety of vehicles within the directory service turn into a rising challenge. In this study, a decision support system to provide a solution for dedicated service to aircraft carriers, enabling them to provide optimal allocation. Using this solution in times of crisis enable managers and service providers to use Geographic Information System which will be assigned to aircraft. The developed model in this study, after receiving the aircraft and service cars position, will announce that which aircraft and the service path should be served first. The implementation of proposed model at Imam Khomeini International Airport results show 36 seconds reduction of flight delays related to the real time of flight. If the proposed model be applied in several flight, it will show a better performance and a greater reduction in the total time of flight delays. Applying this model leads to increase of the power of decision-making and as a result can reduce the crisis in the airports.

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